#!/bin/bash # Copyright 2016 gRPC authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # format argument via # $ echo '{...}' | python -mjson.tool read -r -d '' SCENARIOS_JSON_ARG <<'EOF' { "scenarios": [ { "benchmark_seconds": 60, "warmup_seconds": 5, "client_config": { "client_channels": 100, "client_type": "ASYNC_CLIENT", "histogram_params": { "max_possible": 60000000000.0, "resolution": 0.01 }, "load_params": { "closed_loop": {} }, "outstanding_rpcs_per_channel": 100, "payload_config": { "simple_params": { "req_size": 0, "resp_size": 0 } }, "rpc_type": "UNARY", "security_params": null }, "name": "name_goes_here", "num_clients": 1, "num_servers": 1, "server_config": { "security_params": null, "server_type": "ASYNC_SERVER" }, "spawn_local_worker_count": -2 } ] } EOF set -ex cd $(dirname $0)/../../.. CPUS=`python -c 'import multiprocessing; print multiprocessing.cpu_count()'` # try to use pypy for generating reports # each trace dumps 7-8gig of text to disk, and processing this into a report is # heavyweight - so any speed boost is worthwhile # TODO(ctiller): consider rewriting report generation in C++ for performance if which pypy >/dev/null; then PYTHON=pypy else PYTHON=python2.7 fi export config=mutrace make CONFIG=$config -j$CPUS qps_json_driver sudo perf record -F 997 -g bins/$config/qps_json_driver --scenarios_json="$SCENARIOS_JSON_ARG" sudo perf report